Linear fitting of implicit algebraic models to data usually suffers from global stability problems. Complicated object structures can accurately be modeled by closed-bounded surfaces of higher degrees using ridge regression. This paper derives an explicit formula for computing a Euclidean invariant 3D ridge regression matrix and applies it for the global stabilization of a particular linear fitting method. Experiments show that the proposed approach improves global stability of resulting surfaces significantly.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fitting globally stabilized algebraic surfaces to range data


    Beteiligte:
    Sahin, T. (Autor:in) / Unel, M. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    698471 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fitting Globally Stabilized Algebraic Surfaces to Range Data

    Sahin, T. / Unel, M. / IEEE | British Library Conference Proceedings | 2005



    Lie-Algebraic Averaging for Globally Consistent Motion Estimation

    Govindu, V. / IEEE Computer Society | British Library Conference Proceedings | 2004


    Globally Consistent Range Scan Alignment for Environment Mapping

    Lu, F. / Milios, E. | British Library Online Contents | 1997


    Globally optimal segmentation of interacting surfaces with geometric constraints

    Kang Li, / Xiaodong Wu, / Chen, D.Z. et al. | IEEE | 2004